Quantification of Predictive Uncertainty via Inference-Time Sampling.
Katarína TóthováLubor LadickyDaniel ThulMarc PollefeysEnder KonukogluPublished in: CoRR (2023)
Keyphrases
- reasoning under uncertainty
- gibbs sampler
- inference process
- markov chain monte carlo
- random sampling
- probabilistic inference
- bayesian networks
- sample size
- uncertain data
- bayesian inference
- conditional probabilities
- belief networks
- stochastic simulation
- artificial intelligence
- inference mechanism
- markov chain
- inference engine
- predictive modeling
- inherent uncertainty
- neural network
- sampling strategy
- bayesian model
- sampling algorithm
- expected utility
- decision making
- data mining